At the present stage,the construction and operation cost of optical storage DC microgrid is high and the lack of overall planning,so it is urgent to carry out the optimization planning research of optical hydrogen storage DC microgrid.Considering the fluctuation of photovoltaic power output power and the uncertainty of load change in light hydrogen storage DC microgrid,an optimization planning method of light hydrogen storage DC microgrid based on opportunity constraint is proposed.Based on the opportunity constraint planning,the optimization planning model of optical hydrogen storage DC microgrid with the lowest construction and operation cost is constructed,and the energy storage capacity configuration of the microgrid is optimized.Through the sequence operation,the constraints containing random variables in the model were used for deterministic transformation,and the CPLEX solver was called to solve the model.Through simulation calculation and analysis,the effectiveness and practicability of the optimization planning method of optical hydrogen storage DC micro grid based on the sequence operation algorithm were verified.
文章基于新疆棉秆的微波水热及水热氧化处理实验,利用傅立叶红外光谱分析、Van Soest化学组分分析和热重分析等方法,研究了水热及水热氧化处理对棉秆固相产物结构、组分变化及热解特性的影响规律.研究结果表明:水热处理过程中,棉秆中的半纤维素在温度为 200℃时基本完全水解,无定形纤维素在温度为200～230℃时剧烈分解,而木质素与结晶纤维素在温度为 160～230℃时保持稳定;随着水热温度的升高,棉秆样品的结晶度、固定碳含量、热值均呈上升趋势,灰分和水分含量则呈下降趋势,综合热解指数在温度为 200℃时达到最大值[4.07×10-5%3/(min2?℃3)];水热氧化处理过程中,半纤维素在温度为 180℃时基本分解完毕,木质素和结晶纤维素在温度为160～230℃时发生部分降解;在水热氧化温度为 160～200℃时,棉秆的结晶度升高至最大值后降低;水热氧化处理后棉秆的固定碳含量和热值均高于同温度下的水热处理后棉秆,且综合热解指数在温度为 180℃时达到最大值[4.23×10-5%3/(min2?℃3)];相比水热处理,水热氧化处理能够促进棉秆中不稳定组分的分解,从而在较低的处理强度下对生物质提质.
Integrated Energy System（IES） can realize the cooperation and promote the cascade utilization of multi-energy. Meanwhile, as a direct control means of flexible load, the integrated demand response shows great potential in improving IES economy and reliable operation. In this paper, based on the integrated electricity-gas systems, the operation characteristics of the multienergy storage systems and the IES multi-energy complementary are comprehensively considered,and the IES multi-energy coupling model is constructed. Furthermore, the traditional electricity demand response is extended to the IES system, and the comprehensive demand response mechanism is proposed. In order to minimize the operating cost of IES system, an IES optimal scheduling model is established which take into account the comprehensive demand response, and the efficient solution of IES optimization model is realized with the help of commercial solver.Example analysis verifies that the proposed model can give full play to the demand response potential of flexible load, promote the consumption of renewable energy, and improve the economy of IES operation.
Starting from improving the coefficient of performance(COP)of heat pump units and making reasonable use of solar energy at different temperature levels,this article analyzes the impact of evaporator inlet temperature on the performance of the heat pump system based on a large number of experimental results of the solar soil source composite heat pump system.On this basis,the operating characteristics of the composite source heat pump and solar heat pump conditions are analyzed.The analysis results indicate that as the inlet temperature of the evaporator increases,the heat absorption capacity of the heat pump unit gradually increases,and the input power of the heat pump unit slightly increases,leading to a gradual increase in both the heat supply and COP of the heat pump unit;When a composite source heat pump operates,there are two operating scenarios:soil source and solar energy heating together,and short-term soil heat storage and solar energy heating separately.In order to improve the performance of the heat pump unit,when the solar energy collection is low,the composite source heat pump is prioritized for operation;The natural recovery ability of soil source temperature is poor,and it is necessary to use solar energy collection systems to forcibly store heat across seasons to increase soil source temperature and alleviate the phenomenon of"cold accumulation"of soil sources.
In order to improve the level of renewable energy consumption,reduce carbon emissions,and improve the operating economy of distribution networks(DN),the paper proposes an adaptive two-stage robust optimization operation strategy for renewable energy-containing flexible DN that considers carbon emission benefits.First,a two-stage robust optimization operation model considering the worst-case scenario is established by combining the green certificate-step carbon trading model,considering the operating cost of DN and the trading cost of green energy,and based on the uncertainty of the wind and solar power output.On this basis,the nonlinear model is transformed into mixed-integer second-order cone planning by combining linearization means.Secondly,the adaptive uncertainty operator is utilized to reasonably regulate the robustness of the system,and the efficient Column and Constraint Generation(C&CG)algorithm is used to solve the problem.Finally,a case analysis is carried out in the IEEE-33 node system,and the results show that the proposed strategy can not only effectively improve the ability of the flexible DN to cope with uncertainty,but also consider environmental protection while realizing the economy of the system,which contributes to the coordinated multidimensional development of the flexible DN.
